Kleinanzeigen Real Estate Scraper

A comprehensive Apify Actor for extracting German real estate listings from kleinanzeigen.de, providing detailed property information for market analysis, investment research, and property valuation. Designed specifically for real estate professionals, investors, and market researchers.

🏠 Features

• Comprehensive Property Data: Extract detailed property specifications, financial information, and energy efficiency data
• Multi-City Analysis: Compare real estate markets across German cities and regions
• Two-Stage Extraction: Basic listing data + detailed property information from individual pages
• Financial Intelligence: Complete cost breakdown including Hausgeld, commission, and additional costs
• Energy Efficiency Analysis: Extract energy consumption, efficiency ratings, and heating information
• Market Research Ready: Pre-configured dataset views for different analysis needs
• Scalable Architecture: Handle large-scale property data extraction efficiently

📊 Extracted Property Data

Basic Listing Information

Field	Description	Example
id	Unique property identifier	"2751234567"
name	Property title	"3-Zimmer-Wohnung mit Balkon"
price	Listed price	"320.000 €"
area	Property area (from listing)	"85 m²"
rooms	Room count (from listing)	"3 Zimmer"
location	City/district	"28195 Bremen"
url	Direct link to property	"https://www.kleinanzeigen.de/..."

Detailed Property Information

Field	Description	Example
living_area	Exact living space	"85 m²"
plot_area	Land/plot size	"400 m²"
total_rooms	Total number of rooms	"4"
bedrooms	Number of bedrooms	"2"
bathrooms	Number of bathrooms	"1"
built_year	Construction year	"1995"
floor	Floor level	"2. Obergeschoss"

Financial Information

Field	Description	Example
hausgeld	Monthly building fees	"180 €"
commission	Broker commission	"3,57%"
additional_costs	Nebenkosten (utilities)	"120 €"
heating_costs	Monthly heating costs	"80 €"

Energy & Technical Data

Field	Description	Example
energy_consumption	Energy usage	"85 kWh/(m²·a)"
energy_efficiency_class	Energy rating	"C"
energy_certificate	Certificate details	"Energieausweis vorhanden"
heating_type	Heating system	"Zentralheizung"

Property Features

Field	Description	Example
condition	Property condition	"Modernisiert"
balcony	Balcony available	"Ja"
garden	Garden available	"Nein"
garage	Garage/parking	"Tiefgarage"
basement	Basement available	"Ja"
equipment	Kitchen/furnishing	"Einbauküche"

🔧 Input Configuration

Required Parameters

• Categories: Array of property categories with URLs and page limits

Optional Parameters

• Extract Details: Enable detailed property information extraction (default: true)
• Max Pages: Global page limit per category (default: 5)
• Max Results: Total item limit across categories (default: 1000)
• Field Config: Custom XPath selectors for data extraction

🏘️ Property Categories & Locations

Real Estate Categories

{
  "categories": [
    {
      "category": "apartment_purchase",
      "url": "https://www.kleinanzeigen.de/s-wohnung-kaufen/berlin/c196l3331",
      "pages": 5
    },
    {
      "category": "house_purchase", 
      "url": "https://www.kleinanzeigen.de/s-haus-kaufen/berlin/c208l3331",
      "pages": 5
    },
    {
      "category": "apartment_rental",
      "url": "https://www.kleinanzeigen.de/s-wohnung-mieten/berlin/c203l3331",
      "pages": 3
    }
  ]
}

Major German Cities (Location IDs)

• Berlin: l3331
• Munich: l6411
• Hamburg: l9409
• Cologne: l5467
• Frankfurt: l5585
• Stuttgart: l8756
• Düsseldorf: l5196
• Dortmund: l4998
• Essen: l5230
• Leipzig: l1466

Category Codes

• Apartment Purchase: c196
• House Purchase: c208
• Apartment Rental: c203
• House Rental: c205
• Commercial Real Estate: c277

📋 Usage Examples

Basic Property Market Analysis

{
  "categories": [
    {
      "category": "berlin_apartments",
      "url": "https://www.kleinanzeigen.de/s-wohnung-kaufen/berlin/c196l3331",
      "pages": 10
    }
  ],
  "extractDetails": true,
  "maxResults": 500
}

Multi-City Investment Analysis

{
  "categories": [
    {
      "category": "munich_apartments",
      "url": "https://www.kleinanzeigen.de/s-wohnung-kaufen/muenchen/c196l6411",
      "pages": 8
    },
    {
      "category": "hamburg_apartments", 
      "url": "https://www.kleinanzeigen.de/s-wohnung-kaufen/hamburg/c196l9409",
      "pages": 8
    },
    {
      "category": "cologne_apartments",
      "url": "https://www.kleinanzeigen.de/s-wohnung-kaufen/koeln/c196l5467", 
      "pages": 8
    }
  ],
  "maxPages": 10,
  "maxResults": 2000
}

Rental Market Research

{
  "categories": [
    {
      "category": "berlin_rentals",
      "url": "https://www.kleinanzeigen.de/s-wohnung-mieten/berlin/c203l3331",
      "pages": 15
    },
    {
      "category": "munich_rentals",
      "url": "https://www.kleinanzeigen.de/s-wohnung-mieten/muenchen/c203l6411", 
      "pages": 15
    }
  ],
  "extractDetails": true,
  "maxResults": 1500
}

Luxury Properties Analysis

{
  "categories": [
    {
      "category": "luxury_houses_munich",
      "url": "https://www.kleinanzeigen.de/s-haus-kaufen/muenchen/preis:500000:10000000/c208l6411",
      "pages": 5
    }
  ],
  "extractDetails": true,
  "maxResults": 200
}

📊 Dataset Views for Real Estate Analysis

1. Overview

Complete property data with basic and detailed information for comprehensive analysis.

2. Basic Listing Data

Quick overview of properties without detailed extraction - perfect for initial market scanning.

3. Apartments Only

Filtered view showing only apartment listings with room breakdowns and detailed information.

4. Houses Only

Dedicated view for single-family homes, townhouses, and standalone properties.

5. Financial Analysis

Focused on investment metrics: prices, Hausgeld, commission, additional costs, and cost per m².

6. Complete Property Details

Comprehensive view with all 25+ extracted fields for detailed property evaluation.

7. Energy Efficiency Analysis

Environmental and energy cost analysis including efficiency ratings and heating systems.

🔄 How It Works

1. Category Setup: Define property categories, cities, and page limits
2. Listing Extraction: Scrape property listings from category pages
3. Detail Crawling: Visit individual property pages for comprehensive data
4. Data Processing: Extract structured information using German-to-English mapping
5. Quality Enhancement: Clean and standardize property data
6. Multi-View Output: Generate specialized dataset views for different analyses

💡 Real Estate Use Cases

Investment Analysis

• ROI Calculation: Complete cost breakdown for investment property analysis
• Market Comparison: Compare properties across different cities and neighborhoods
• Price per m² Analysis: Standardized pricing metrics for market evaluation
• Cash Flow Modeling: Extract rental income potential and operating costs

Market Research

• Price Trends: Track pricing changes across different property types and locations
• Inventory Analysis: Monitor available properties and market supply
• Neighborhood Intelligence: Compare property features and pricing by area
• Competition Analysis: Understand pricing strategies and market positioning

Property Valuation

• Comparable Sales: Find similar properties for valuation purposes
• Feature Analysis: Understand how property features affect pricing
• Age and Condition Impact: Analyze how building age and condition affect values
• Energy Efficiency Premium: Quantify value of energy-efficient properties

Development Planning

• Land Value Analysis: Extract plot sizes and land pricing information
• Renovation Potential: Identify properties with modernization opportunities
• Zoning Research: Understand property types and development patterns
• Infrastructure Analysis: Correlate property values with location amenities

⚡ Performance Optimization

Efficient Configuration

• Start Small: Begin with 2-3 pages per category for testing
• Target Specific Areas: Use precise location codes for focused analysis
• Optimize Detail Extraction: Disable for basic market overviews, enable for investment analysis
• Batch Processing: Run multiple smaller jobs for large-scale market research

Cost Management

• Smart Limits: Set appropriate maxResults based on analysis needs
• Category Focus: Target specific property types relevant to your research
• Time Windows: Consider running during off-peak hours for better performance

🛠️ Technical Specifications

• Built on Apify Platform: Enterprise-grade scraping infrastructure
• Async Processing: Efficient handling of large property datasets
• Error Recovery: Robust handling of individual page failures
• Rate Limiting: Respectful scraping with built-in delays
• Memory Efficient: Optimized for large-scale property data extraction
• Data Quality: Comprehensive cleaning and standardization

🎯 Advanced Features

Custom Field Extraction

Modify XPath selectors for specific property types or new website changes:

{
  "fieldConfig": {
    "custom_field": ".//div[@class='specific-selector']/text()",
    "special_feature": ".//span[contains(@class, 'feature')]/text()"
  }
}

URL Pattern Construction

Build custom URLs for specific searches:

• Price Range: Add /preis:100000:500000/ for price filtering
• Property Type: Use specific category codes (c196, c208, etc.)
• Location: Combine city codes with postal codes for precise targeting

📈 Data Export & Integration

Export Formats

• CSV: Perfect for Excel analysis and financial modeling
• JSON: Direct integration with analytics tools and databases
• API Access: Real-time data integration with existing systems

Integration Examples

• Property Management Systems: Bulk import of market data
• Investment Platforms: Automated property discovery and analysis
• Market Research Tools: Feed data into specialized real estate analytics
• Valuation Software: Comparable property data for automated valuations

🚨 Compliance & Best Practices

Legal Considerations

• Terms of Service: Ensure compliance with kleinanzeigen.de terms
• Data Protection: Follow GDPR requirements for data handling
• Rate Limiting: Built-in respectful scraping practices
• Commercial Use: Verify licensing for commercial real estate applications

Ethical Usage

• Market Research: Use data for legitimate real estate analysis
• Fair Competition: Respect competitor privacy and business practices
• Data Accuracy: Verify critical information through official sources
• User Privacy: Handle contact information responsibly

📞 Support & Customization

For real estate-specific customizations, advanced filtering, or integration support:

• Review Actor logs for troubleshooting extraction issues
• Test with smaller datasets before large-scale market analysis
• Contact through Apify platform for enterprise requirements
• Check documentation for updates to property website structure

📜 License

Professional real estate data extraction tool for the Apify platform. Users responsible for compliance with applicable real estate data regulations and platform terms of service.